Automatic Coral Morphotypes Detection with YOLO: A Deep Learning Approach for Efficient and Accurate Coral Reef Monitoring. - Younes Ouassine; Jihad Zahir; Noël Conruyt; Mohsen Kayal; Philippe A. Martin; Eric Chenin; Lionel Bigot; Régine Vignes-Lebbe (AI4KMES@ECAI, 2023)

Automatic Coral Detection with YOLO: A Deep Learning Approach for Efficient and Accurate Coral Reef Monitoring. - Younes Ouassine; Jihad Zahir; Noël Conruyt; Mohsen Kayal; Philippe A. Martin; Eric Chenin; Lionel Bigot; Régine Vignes-Lebbe (ECAI Workshops (2), 2023)

Identification of Non-Plant Elements in Herbarium Images Using YOLO. - Youcef Sklab; Hanane Ariouat; Edi Prifti; Jean-Daniel Zucker; Eric Chenin (CARI, 2024)

Enhancing YOLOv7 for Plant Organs Detection Using Attention-Gate Mechanism. - Hanane Ariouat; Youcef Sklab; Marc Pignal; Florian Jabbour; Régine Vignes-Lebbe; Edi Prifti; Jean-Daniel Zucker; Eric Chenin (PAKDD (2), 2024)

SIM-Net: A Multimodal Fusion Network Using Inferred 3D Object Shape Point Clouds From RGB Images for 2D Classification. - Youcef Sklab; Hanane Ariouat; Eric Chenin; Edi Prifti; Jean-Daniel Zucker (IET Comput. Vis., 2025)

PlantSAM: An Object Detection-Driven Segmentation Pipeline for Herbarium Specimens. - Youcef Sklab; Florian Castanet; Hanane Ariouat; Souhila Arib; Jean-Daniel Zucker; Eric Chenin; Edi Prifti (CoRR, 2025)